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The Collaborative Cross, a community resource for the genetic analysis of complex traits

(2004) Churchill, Gary A.; Airey, David C.; Allayee, Hooman; Angel, Joe M.; Attie, Alan D.; Beatty, Jackson; Beavis, William D.; Belknap, John K.; Bennett, Beth; Berrettini, Wade; Bleich, Andre; Bogue, Molly; Broman, Karl W.; Buck, Kari J.; Buckler, Ed; Burmeister, Margit; Chesler, Elissa J.; Cheverud, James M.; Clapcote, Steven; Cook, Melloni N.; Cox, Roger D.; Crabbe, John C.; Crusio, Wim E.; Darvasi, Ariel; Deschepper, Christian F.; Doerge, R.W.; Farber, Charles R.; Forejt, Jiri; Gaile, Daniel; Garlow, Steven J.; Geiger, Hartmut; Gershenfeld, Howard; Gordon, Terry; Gu, Jing; Gu, Weikuan; Haan, Gerald de; Hayes, Nancy L.; Heller, Craig; Himmelbauer, Heinz; Hitzemann, Robert; Hunter, Kent; Hsu, Hui-Chen; Iraqi, Fuad A.; Ivandic, Boris; Jacob, Howard J.; Jansen, Ritsert C.; Jepsen, Karl J.; Johnson, Dabney K.; Johnson, Thomas E.; Kempermann, Gerd; Kendziorski, Christina; Kotb, Malak; Kooy, R. Frank; Llamas, Bastien; Lammert, Frank; Lassalle, Jean-Michel; Lowenstein, Pedro R.; Lu, Lu; Lusis, Aldons; Manly, Kenneth F.; Marcucio, Ralph; Matthews, Doug; Medrano, Juan F.; Miller, Darla R.; Mittleman, Guy; Mock, Beverly A.; Mogil, Jeffrey S.; Montagutelli, Xavier; Morahan, Grant; Morris, David G.; Mott, Richard; Nadeau, Joseph H.; Nagase, Hiroki; Nowakowski, Richard S.; O’Hara, Bruce F.; Osadchuk, Alexander V.; Page, Grier P.; Paigen, Beverly; Paigen, Kenneth; Palmer, Abraham A.; Pan, Huei-Ju; Peltonen-Palotie, Leena; Peirce, Jeremy; Pomp, Daniel; Pravenec, Michal; Prows, Daniel R.; Qi, Zhonghua; Reeves, Roger H.; Roder, John; Rosen, Glenn D.; Schadt, Eric E.; Schalkwyk, Leonard C.; Seltzer, Ze’ev; Shimomura, Kazuhiro; Shou, Siming; Sillanpää, Mikko J.; Siracusa, Linda D.; Snoeck, Hans-Willem; Spearow, Jimmy L.; Svenson, Karen; Tarantino, Lisa M.; Threadgill, David; Toth, Linda A.; Valdar, William; Pardo-Manuel de Villena, Fernando; Warden, Craig; Whatley, Steve; Williams, Robert W.; Wiltshire, Tim; Yi, Nengjun; Zhang, Dabao; Zhang, Min; Zou, Fei

The goal of the Complex Trait Consortium is to promote the development of resources that can be used to understand, treat and ultimately prevent pervasive human diseases. Existing and proposed mouse resources that are optimized to study the actions of isolated genetic loci on a fixed background are less effective for studying intact polygenic networks and interactions among genes, environments, pathogens and other factors. The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way we approach human health and disease.

Nature Genetics, 36 (11)Check if we have the full text, and get it



file:2004NatureGenetChurchill.pdf

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